{"version":"1.0","provider_name":"ACM SIGAI","provider_url":"https:\/\/sigai.acm.org\/main","author_name":"Alan Tsang","author_url":"https:\/\/sigai.acm.org\/main\/author\/akhtsang\/","title":"Peter Stone (2016 Autonomous Agents Research Award) - ACM SIGAI","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"spfuI3XQwm\"><a href=\"https:\/\/sigai.acm.org\/main\/2024\/02\/28\/peter-stone-2016-autonomous-agents-research-award\/\">Peter Stone (2016 Autonomous Agents Research Award)<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/sigai.acm.org\/main\/2024\/02\/28\/peter-stone-2016-autonomous-agents-research-award\/embed\/#?secret=spfuI3XQwm\" width=\"600\" height=\"338\" title=\"&#8220;Peter Stone (2016 Autonomous Agents Research Award)&#8221; &#8212; ACM SIGAI\" data-secret=\"spfuI3XQwm\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/sigai.acm.org\/main\/wp-content\/uploads\/2021\/07\/peterstone.jpg","thumbnail_width":180,"thumbnail_height":271,"description":"The selection committee for the ACM\/SIGAI Autonomous Agents Research Award is pleased to announce that Prof. Peter Stone of the University of Texas at Austin is the recipient of the 2016 award. Prof. Stone\u2019s work is exceptional in both its breadth and depth in multiagent systems. Some of his most influential work has been in reinforcement learning and multiagent learning as applied to robot soccer, autonomous traffic management, and trading agents. His contributions are ongoing, as evidenced by the growing influence of one of his recent innovations, the formulation of ad hoc teamwork as a new research area. In addition to the impact of his research, his teams\u2019 successes in international competitions, including RoboCup and the Trading Agent Competition, are particularly notable. Prof. Stone has also served the multiagent systems, AI, and RoboCup communities in various leadership roles."}